5 citations · 5 across the 5 of their papers we have counts for
5 papers
HALOMI: Learning Humanoid Loco-Manipulation with Active Perception from Human Demonstrations
Zehui Zhao, Yuxuan Zhao, Gaojing Zhang +3
Human demonstrations, which can be collected at scale and naturally capture active hand-eye coordination, are a promising data source for learning humanoid loco-manipulation. Howev…
Random neural networks match observed dimensionality of neural population recordings and motivate stronger experimental tests
Zehui Zhao, Michael J Pasek, Ilya M Nemenman
Randomly connected neural networks have long served as a theoretical tool for studying collective dynamics in neural populations, yet quantitative comparisons to experiments remain…
VGS-ATD: Robust Distributed Learning for Multi-Label Medical Image Classification Under Heterogeneous and Imbalanced Conditions
Zehui Zhao, Laith Alzubaidi, Haider A. Alwzwazy +2
In recent years, advanced deep learning architectures have shown strong performance in medical imaging tasks. However, the traditional centralized learning paradigm poses serious p…
Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang +3
Deep learning has significantly advanced automatic medical diagnostics and released the occupation of human resources to reduce clinical pressure, yet the persistent challenge of d…
Transfer or Self-Supervised? Bridging the Performance Gap in Medical Imaging
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang +3
Recently, transfer learning and self-supervised learning have gained significant attention within the medical field due to their ability to mitigate the challenges posed by limited…